Adaptive control of nonlinear systems with neural networks
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Electrical Engineering Congress 1994. Part 2 |
| Pages | 587-590 |
| Volume | 2 |
| Publication status | Published - 1994 |
| Externally published | Yes |
Conference
| Title | Proceedings of the Electrical Engineering Congress 1994. Part 2 (of 2) |
|---|---|
| City | Sydney, Aust |
| Period | 24 - 30 November 1994 |
Link(s)
Abstract
Based on Radial Basis Function neural networks, a stable adaptive control scheme is proposed for a class of unknown nonlinear dynamic systems. It is shown that the scheme is stable and convergent in the sense that all the signal in the loop remain bounded, and in the ideal case, output tracking error will converge to zero and in the non-ideal case, the error will converge to a residue which is proportional to the modelling error bound.
Citation Format(s)
Adaptive control of nonlinear systems with neural networks. / Feng, G.; Chak, C. K.
Proceedings of the Electrical Engineering Congress 1994. Part 2. Vol. 2 1994. p. 587-590.
Proceedings of the Electrical Engineering Congress 1994. Part 2. Vol. 2 1994. p. 587-590.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
